Study with SVM classifiers on various sensors [1]}, especially with vibration sensors, shows 94.93% of test accuracy for detecting failure printed objects. Detection algorithm with CNN classifier on surface images showed 91.0% test accuracy [2]}. Although these studies show a high detection accuracy of more than 90%, as mentioned above, there are remaining issues for actual 3D-printer users to utilize the solutions.
